Cluster-Based Hybrid Routing Technique for Wireless Sensor Networks
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11277-024-11406-7.pdf
Reference30 articles.
1. A, Raychaudhuri, D, De, (2020). “Bio-inspired algorithm for multi-objective optimization in wireless sensor network,” In in Nature Inspired Computing for Wireless Sensor Networks, (pp. 279–301), Springer.
2. Sun, Z., Wei, M., Zhang, Z., & Qu, G. (2019). Secure routing protocol based on multi-objective ant-colony-optimization for wireless sensor networks. Applied Soft Computing, 77, 366–375.
3. J, Lou, (2019). “Location-based multi-objective optimization routing algorithm for WSN,” in In Recent developments in intelligent computing, communication and devices, (pp. 523–529), Springer
4. Liu, J., Shen, H., Yu, L., et al. (2017). Characterizing data deliverability of greedy routing in wireless sensor networks. IEEE Transactions on Mobile Computing, 17(3), 543–559.
5. Singh, S., & Kumar, P. (2020). MH-CACA: Multi-objective harmony search-based coverage aware clustering algorithm in WSNs. Enterprise Information Systems, 14(9–10), 1325–1353.
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